Quantized art. The idea came about while reading how the music industry assembles top-liners, producers, artists, performers, etc. to [...]create top 40 hits. For example, there has been a recent trend in pop music to use 'drops', when the song builds to a crescendo and then a crazy, catchy bass line is released that causes everyone to dance. This has been perfected to the point where even an okay song can become popular because the producers know when to build, at what moment to intersperse catchy, meaningless lyrics and how to end the song on a high. I like the idea that art (as in paintings, drawings, etc.) can be dissected and quantified.
My first pass at developing an algorithm to break art down to its details and then use this knowledge to generate art that people would consider 'great'. We'll see how this evolves.